Po

Porkybank: Simple, automatic daily budget

Hacker News

Porkybank: Simple, automatic daily budget

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
86%86% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Th
The Daily Populous – an automatic socially generated newspaper45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Daily Populous – an automatic socially generated newspaper

Hacker News3
Au
Automatic Parallelization for Haskell74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatic Parallelization for Haskell

Hacker News1
Au
Automatic CloudWatch Alarms52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatic CloudWatch Alarms

Hacker News1
AP
APReF: An Automatic Parallelizer of Recursive Functions for Haskell67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

APReF: An Automatic Parallelizer of Recursive Functions for Haskell

Hacker News2
Au
Automatic Installer for ArchLinux ARM51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatic Installer for ArchLinux ARM

Hacker News1
AI
AIlight: Automatic Highlighting52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AIlight: Automatic Highlighting

Hacker News1
Ga
Galene-stt: automatic captioning for the Galene videconferencing system58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Galene-stt: automatic captioning for the Galene videconferencing system

Hacker News2
Sm
Smig – Automatic SurrealDB Migrations36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Smig – Automatic SurrealDB Migrations

Hacker News1
Au
Automatic initializer methods for Objective-C39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatic initializer methods for Objective-C

Hacker News3
Ex
Exploring the US Budget, 1962-201933%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Exploring the US Budget, 1962-2019

Hacker News69